The TUT indoor dataset is a fully-labeled image dataset to facilitate the board use of image recognition and object detection in indoor scenarios. Dataset consists of 2213 image frames containing seven classes. In contrast to existing indoor datasets, our dataset includes a variety of background, lighting conditions, occlusion and high inter-class differences. For more information, check out our paper.